NCT07470827

Brief Summary

The purpose of this clinical trial is to evaluate the effectiveness of the computer-aided diagnosis (CADx) software, 'WAYMED endo CL CS', which assists medical specialists by automatically analyzing colorectal endoscopic images, identifying lesions, and providing probability values to classify them as Adenoma or Non-Adenoma. This pivotal trial is designed to confirm that 'WAYMED endo CL CS' can support clinicians in diagnostic decision-making by improving the classification of colorectal lesions.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,178

participants targeted

Target at P75+ for all trials

Timeline
5mo left

Started Sep 2024

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress79%
Sep 2024Dec 2026

Study Start

First participant enrolled

September 1, 2024

Completed
1.5 years until next milestone

First Submitted

Initial submission to the registry

March 9, 2026

Completed
4 days until next milestone

First Posted

Study publicly available on registry

March 13, 2026

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2026

Last Updated

March 13, 2026

Status Verified

March 1, 2026

Enrollment Period

2.2 years

First QC Date

March 9, 2026

Last Update Submit

March 9, 2026

Conditions

Keywords

Colorectal EndoscopyAdenomaNon-AdenomaArtificial IntelligenceComputer-Aided Diagnosis (CADx)Colorectal Cancer Screening

Outcome Measures

Primary Outcomes (2)

  • Clinical Sensitivity in classifying colorectal lesions (%)

    The probability of being classified as "Adenoma" among colorectal endoscopic images confirmed as "Adenoma" through histopathology.

    6 months

  • Clinical Specificity in classifying colorectal lesions (%)

    The probability of being classified as "Non-Adenoma" among colorectal endoscopic images confirmed as "Non-Adenoma" through histopathology.

    6 months

Secondary Outcomes (1)

  • Diagnostic Accuracy in classifying colorectal lesions (%)

    6 months

Study Arms (2)

Trial group

Colorectal endoscopic images in this group are analyzed by WAYMED endo CL CS, which identifies lesions and classifies them as "Adenoma" or "Non-Adenoma" with probability values.

Device: WAYMED endo CL CS

Reference Standard

All lesions are verified by histopathology and annotated by the Reference Standard Establishment Committee (experienced endoscopy specialists). This serves as the comparator for evaluating diagnostic performance.

Other: Reference standard review

Interventions

Classification of colorectal endoscopic images as "Adenoma" or "Non-Adenoma" by WAYMED endo CL CS (Computer-aided diagnosis software for colorectal endoscopy).

Trial group

Colorectal endoscopic images are independently reviewed by expert endoscopists and confirmed with histopathology to establish the reference standard.

Reference Standard

Eligibility Criteria

Age19 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Colorectal endoscopic images from adult patients (≥19 years) who underwent colonoscopy and biopsy, with confirmed histopathology results for Adenoma or Non-Adenoma lesions.

You may qualify if:

  • Adult patients (≥19 years) with colorectal endoscopic images showing one lesion.
  • Histopathology confirming the lesion as Adenoma (colorectal cancer, adenoma) or Non-Adenoma (sessile serrated lesion, hyperplastic polyp).

You may not qualify if:

  • Images previously used for training or internal validation of the investigational software.
  • History of colectomy.
  • Diagnosed with inflammatory bowel disease (e.g., ulcerative colitis, Crohn's disease) or neuroendocrine tumor.
  • Poor image quality (blurred, incomplete lesion capture).
  • Images with multiple lesions or fewer than two images per lesion.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Yonsei University Gangnam Severance Hospital

Seoul, Gangnam, 06273, South Korea

Location

MeSH Terms

Conditions

CarcinomaAdenoma

Condition Hierarchy (Ancestors)

Neoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasms

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 9, 2026

First Posted

March 13, 2026

Study Start

September 1, 2024

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Last Updated

March 13, 2026

Record last verified: 2026-03

Locations